ReviewClinical pharmacology and therapeutics2025
IQ Survey Results on Current Industry Practices: Part 2-Quantitative Evaluations of Immunogenicity Assessment.
Review in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
All biotherapeutics have the potential to induce an immunogenic response and generate anti-drug antibodies (ADAs), especially when administered as multiple doses over prolonged periods. However, a clinically meaningful effect of ADAs can be difficult to identify to communicate the impact of immunogenicity on drug exposure, safety and efficacy outcomes in product labels in a way that is useful for health care providers. The immunogenicity working Group, IQ Consortium (Clinical Pharmacology Leadership Group) has conducted a survey to understand the current practices in analyzing immunogenicity data generated during clinical development and its impact on pharmacokinetics, clinically relevant pharmacodynamic biomarkers, safety, and efficacy outcome measures. Information was collected for 93 drugs, spanning multiple drug classes and over the different phases of clinical development, including post-approval. The predominant drug classes reported included monoclonal antibodies or Fc-fusion proteins, endogenous protein replacement therapies, bispecific antibodies, and antibody-drug conjugates. The extent of quantitative evaluation varied and was influenced by several factors, including descriptive analyses, statistical approaches, and modeling. In addition to understanding current practices, this survey also highlights areas for future exploration in analyzing clinical relevance of ADAs which can facilitate the use for regulatory submissions and product labels.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.